The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3041764 (up from 2971475 yesterday: 2.37 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "211167 (up from 206544 yesterday: 2.24 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.94



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 988197 22414 2.32 56259 1378 2.51 5.69
Spain 229422 2793 1.23 23521 331 1.43 10.25
Italy 199414 1739 0.88 26977 333 1.25 13.53
France 165963 3743 2.31 23327 437 1.91 14.06
Germany 158758 988 0.63 6126 150 2.51 3.86
United Kingdom 158348 4311 2.80 21157 363 1.75 13.36
Turkey 112261 2131 1.93 2900 95 3.39 2.58
Iran 91472 991 1.10 5806 96 1.68 6.35
Russia 87147 6198 7.66 794 47 6.29 0.91
China 83918 6 0.01 4637 0 0.00 5.53
Brazil 67446 4346 6.89 4603 317 7.40 6.82
Canada 49616 2469 5.24 2841 178 6.68 5.73
Belgium 46687 553 1.20 7207 113 1.59 15.44
Netherlands 38440 400 1.05 4534 43 0.96 11.80
India 29451 1561 5.60 939 58 6.58 3.19
Switzerland 29164 103 0.35 1665 55 3.42 5.71
Peru 28699 1182 4.30 782 54 7.42 2.72
Portugal 24027 163 0.68 928 25 2.77 3.86
Ecuador 23240 521 2.29 663 87 15.10 2.85
Ireland 19648 386 2.00 1102 15 1.38 5.61
Sweden 18926 286 1.53 2274 80 3.65 12.02
Saudi Arabia 18811 1289 7.36 144 5 3.60 0.77
Israel 15555 112 0.73 204 3 1.49 1.31
Mexico 15529 852 5.81 1434 83 6.14 9.23
Austria 15274 49 0.32 549 7 1.29 3.59
Singapore 14423 799 5.86 14 2 16.67 0.10
Japan 14153 712 5.30 385 13 3.49 2.72
Pakistan 13915 587 4.40 292 11 3.91 2.10
Chile 13813 482 3.62 198 9 4.76 1.43
Poland 11902 285 2.45 562 27 5.05 4.72
Romania 11339 303 2.75 641 22 3.55 5.65
Belarus 11289 826 7.89 75 3 4.17 0.66
Qatar 11244 957 9.30 10 0 0.00 0.09
United Arab Emirates 10839 490 4.73 82 6 7.89 0.76
Korea, South 10752 14 0.13 244 1 0.41 2.27
Indonesia 9096 214 2.41 765 22 2.96 8.41
Ukraine 9009 392 4.55 220 11 5.26 2.44
Denmark 8896 123 1.40 427 5 1.18 4.80
Philippines 7777 198 2.61 511 10 2.00 6.57
Norway 7599 72 0.96 205 4 1.99 2.70
Czechia 7445 41 0.55 223 3 1.36 3.00
Australia 6721 7 0.10 83 0 0.00 1.23
Serbia 6630 0 0.00 125 0 0.00 1.89
Dominican Republic 6293 158 2.58 282 4 1.44 4.48
Panama 6021 242 4.19 167 2 1.21 2.77
Bangladesh 5913 497 9.18 152 7 4.83 2.57
Malaysia 5820 40 0.69 99 1 1.02 1.70
Colombia 5597 218 4.05 253 9 3.69 4.52
South Africa 4793 247 5.43 90 3 3.45 1.88
Egypt 4782 248 5.47 337 20 6.31 7.05
Finland 4695 119 2.60 193 3 1.58 4.11
Morocco 4120 55 1.35 162 1 0.62 3.93
Argentina 4003 111 2.85 197 5 2.60 4.92
Luxembourg 3729 6 0.16 88 0 0.00 2.36
Algeria 3517 135 3.99 432 7 1.65 12.28
Moldova 3481 73 2.14 102 6 6.25 2.93
Kuwait 3288 213 6.93 22 2 10.00 0.67
Thailand 2931 9 0.31 52 1 1.96 1.77
Kazakhstan 2835 118 4.34 25 0 0.00 0.88
Bahrain 2723 76 2.87 8 0 0.00 0.29
Hungary 2583 83 3.32 280 8 2.94 10.84
Greece 2534 17 0.68 136 2 1.49 5.37
Oman 2049 51 2.55 10 0 0.00 0.49
Croatia 2039 9 0.44 59 4 7.27 2.89
Uzbekistan 1904 35 1.87 8 0 0.00 0.42
Iraq 1847 27 1.48 88 1 1.15 4.76
Armenia 1808 62 3.55 29 1 3.57 1.60
Iceland 1792 0 0.00 10 0 0.00 0.56
Cameroon 1705 84 5.18 58 2 3.57 3.40
Afghanistan 1703 172 11.23 57 7 14.00 3.35
Azerbaijan 1678 33 2.01 22 1 4.76 1.31
Estonia 1647 4 0.24 50 1 2.04 3.04
Bosnia and Herzegovina 1565 49 3.23 60 1 1.69 3.83
Ghana 1550 0 0.00 11 0 0.00 0.71
New Zealand 1472 3 0.20 19 0 0.00 1.29
Lithuania 1449 11 0.76 41 0 0.00 2.83
Slovenia 1402 6 0.43 83 1 1.22 5.92
North Macedonia 1399 13 0.94 65 4 6.56 4.65
Cuba 1389 20 1.46 56 2 3.70 4.03
Slovakia 1381 2 0.15 18 0 0.00 1.30
Bulgaria 1363 63 4.85 58 2 3.57 4.26
Nigeria 1337 64 5.03 40 0 0.00 2.99
Cote d’Ivoire 1164 14 1.22 14 0 0.00 1.20
Guinea 1163 167 16.77 7 0 0.00 0.60
Djibouti 1035 12 1.17 2 0 0.00 0.19
Bolivia 1014 64 6.74 53 3 6.00 5.23

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 291996 3951 1.37 22668 399 1.79 7.76 15009.90 1165.24 1 in 67
New Jersey 111188 2150 1.97 6044 106 1.79 5.44 12518.08 680.46 1 in 80
Massachusetts 56462 1524 2.77 3003 104 3.59 5.32 8124.61 432.12 1 in 123
Illinois 45883 1980 4.51 1983 50 2.59 4.32 3620.87 156.49 1 in 276
California 44966 1408 3.23 1779 54 3.13 3.96 1138.03 45.02 1 in 879
Pennsylvania 43558 942 2.21 1886 70 3.85 4.33 3402.44 147.32 1 in 294
Michigan 38210 432 1.14 3407 92 2.78 8.92 3826.03 341.15 1 in 261
Florida 32138 606 1.92 1088 13 1.21 3.39 1496.34 50.66 1 in 668
Louisiana 27068 295 1.10 1740 11 0.64 6.43 5822.59 374.29 1 in 172
Connecticut 25997 728 2.88 2012 88 4.57 7.74 7291.70 564.33 1 in 137
Texas 25321 354 1.42 666 15 2.30 2.63 873.26 22.97 1 in 1145
Georgia 24302 816 3.47 995 79 8.62 4.09 2288.88 93.71 1 in 437
Maryland 19487 906 4.88 945 35 3.85 4.85 3223.29 156.31 1 in 310
Ohio 16325 353 2.21 753 25 3.43 4.61 1396.60 64.42 1 in 716
Indiana 15961 949 6.32 844 31 3.81 5.29 2370.84 125.37 1 in 422
Colorado 13879 438 3.26 706 18 2.62 5.09 2410.08 122.60 1 in 415
Washington 13686 165 1.22 764 15 2.00 5.58 1797.27 100.33 1 in 556
Virginia 13538 568 4.38 460 11 2.45 3.40 1586.08 53.89 1 in 630
Tennessee 9918 251 2.60 184 3 1.66 1.86 1451.45 26.93 1 in 689
North Carolina 9428 431 4.79 340 16 4.94 3.61 898.92 32.42 1 in 1112
Rhode Island 7708 269 3.62 233 7 3.10 3.02 7276.08 219.94 1 in 137
Missouri 7305 185 2.60 343 60 21.20 4.70 1190.24 55.89 1 in 840
Arizona 6725 191 2.92 275 0 0.00 4.09 883.14 36.11 1 in 1132
Alabama 6539 118 1.84 228 9 4.11 3.49 1333.62 46.50 1 in 750
Mississippi 6094 183 3.10 229 2 0.88 3.76 2047.61 76.95 1 in 488
Wisconsin 6081 169 2.86 281 9 3.31 4.62 1044.41 48.26 1 in 957
Iowa 5868 392 7.16 127 9 7.63 2.16 1859.86 40.25 1 in 538
South Carolina 5613 115 2.09 177 3 1.72 3.15 1090.18 34.38 1 in 917
Nevada 4700 -34 -0.72 206 0 0.00 4.38 1525.90 66.88 1 in 655
Utah 4236 113 2.74 41 0 0.00 0.97 1321.29 12.79 1 in 757
Delaware 4162 128 3.17 125 5 4.17 3.00 4274.14 128.37 1 in 234
Kentucky 4156 71 1.74 213 5 2.40 5.13 930.24 47.68 1 in 1075
District of Columbia 3892 51 1.33 185 7 3.93 4.75 5514.71 262.13 1 in 181
Minnesota 3811 209 5.80 286 14 5.15 7.50 675.75 50.71 1 in 1480
Kansas 3473 196 5.98 126 5 4.13 3.63 1192.11 43.25 1 in 839
Nebraska 3358 330 10.90 56 0 0.00 1.67 1735.93 28.95 1 in 576
Oklahoma 3281 27 0.83 197 2 1.03 6.00 829.17 49.79 1 in 1206
Arkansas 3069 68 2.27 51 0 0.00 1.66 1016.96 16.90 1 in 983
New Mexico 2825 99 3.63 99 0 0.00 3.50 1347.27 47.21 1 in 742
Oregon 2354 43 1.86 92 0 0.00 3.91 558.12 21.81 1 in 1792
South Dakota 2244 32 1.45 11 0 0.00 0.49 2536.57 12.43 1 in 394
New Hampshire 1938 74 3.97 60 0 0.00 3.10 1425.30 44.13 1 in 702
Idaho 1897 0 0.00 56 0 0.00 2.95 1058.56 31.25 1 in 945
Puerto Rico 1389 18 1.31 84 0 0.00 6.05 434.92 26.30 1 in 2299
West Virginia 1063 8 0.76 34 0 0.00 3.20 594.80 19.02 1 in 1681
Maine 1023 8 0.79 51 1 2.00 4.99 761.04 37.94 1 in 1314
North Dakota 942 75 8.65 19 2 11.76 2.02 1236.12 24.93 1 in 809
Vermont 855 4 0.47 47 1 2.17 5.50 1370.22 75.32 1 in 730
Hawaii 607 1 0.17 16 2 14.29 2.64 428.71 11.30 1 in 2333
Wyoming 520 18 3.59 7 0 0.00 1.35 898.47 12.09 1 in 1113
Montana 449 1 0.22 14 0 0.00 3.12 420.11 13.10 1 in 2380
Alaska 345 5 1.47 9 0 0.00 2.61 471.60 12.30 1 in 2120

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 826095 291996 57103 35.35 19.56 42464.98
New Jersey 227775 111188 6407 48.81 5.76 25644.01
Massachusetts 244887 56462 5237 23.06 9.28 35238.06
Illinois 227628 45883 4672 20.16 10.18 17963.32
California 553409 44966 4878 8.13 10.85 14006.02
Pennsylvania 203422 43558 2800 21.41 6.43 15889.87
Michigan 157760 38210 2667 24.22 6.98 15796.76
Florida 356463 32138 5211 9.02 16.21 16596.86
Louisiana 146989 27068 1683 18.41 6.22 31618.74
Connecticut 79811 25997 1758 32.57 6.76 22385.58
Texas 290517 25321 1563 8.72 6.17 10019.25
Georgia 127169 24302 4681 19.11 19.26 11977.39
Maryland 104976 19487 4101 18.56 21.04 17363.80
Ohio 119391 16325 3232 13.67 19.80 10213.87
Indiana 84476 15961 1493 18.89 9.35 12548.02
Colorado 63274 13879 2438 21.93 17.57 10987.48
Washington 175477 13686 536 7.80 3.92 23043.92
Virginia 80679 13538 3298 16.78 24.36 9452.15
Tennessee 154402 9918 837 6.42 8.44 22595.94
North Carolina 109920 9428 473 8.58 5.02 10480.47
Rhode Island 55885 7708 718 13.79 9.31 52753.50
Missouri 71106 7305 679 10.27 9.30 11585.63
Arizona 66543 6725 1051 10.11 15.63 8738.53
Alabama 73997 6539 872 8.84 13.34 15091.62
Mississippi 63462 6094 1060 9.60 17.39 21323.53
Wisconsin 67392 6081 1415 9.02 23.27 11574.54
Iowa 38150 5868 300 15.38 5.11 12091.65
South Carolina 50761 5613 944 11.06 16.82 9858.97
Nevada 38813 4700 NA 12.11 NA 12600.99
Utah 100195 4236 349 4.23 8.24 31252.75
Delaware 19616 4162 325 21.22 7.81 20144.51
Kentucky 48474 4156 1274 8.57 30.65 10849.94
District of Columbia 18416 3892 402 21.13 10.33 26094.26
Minnesota 61268 3811 861 6.22 22.59 10863.83
Kansas 27167 3473 496 12.78 14.28 9325.12
Nebraska 22363 3358 NA 15.02 NA 11560.64
Oklahoma 53171 3281 656 6.17 19.99 13437.30
Arkansas 40457 3069 109 7.59 3.55 13406.01
New Mexico 56615 2825 412 4.99 14.58 27000.29
Oregon 51198 2354 554 4.60 23.53 12138.74
South Dakota 16375 2244 150 13.70 6.68 18509.96
New Hampshire 19724 1938 242 9.83 12.49 14506.02
Idaho 19895 1897 169 9.54 8.91 11101.72
Puerto Rico 10702 1389 NA 12.98 NA 3350.98
West Virginia 43039 1063 100 2.47 9.41 24082.52
Maine 17807 1023 161 5.74 15.74 13247.17
North Dakota 22434 942 77 4.20 8.17 29438.55
Vermont 15073 855 33 5.67 3.86 24155.87
Hawaii 29010 607 68 2.09 11.20 20489.14
Wyoming 8167 520 54 6.37 10.38 14111.23
Montana 13033 449 61 3.45 13.59 12194.30
Alaska 16256 345 10 2.12 2.90 22221.46

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 8590 522 6.47 1282 14.92 6939 369 27 7.89 4.30
Gujarat 3548 247 7.48 394 11.10 2992 162 11 7.28 4.57
Delhi 3108 190 6.51 877 28.22 2177 54 0 0.00 1.74
Rajasthan 2262 77 3.52 744 32.89 1468 50 9 21.95 2.21
Madhya Pradesh 2165 75 3.59 357 16.49 1698 110 7 6.80 5.08
Uttar Pradesh 1986 113 6.03 399 20.09 1556 31 1 3.33 1.56
Tamil Nadu 1937 52 2.76 1101 56.84 812 24 0 0.00 1.24
Andhra Pradesh 1177 80 7.29 235 19.97 911 31 0 0.00 2.63
Telangana 1003 2 0.20 332 33.10 646 25 0 0.00 2.49
West Bengal 697 86 14.08 109 15.64 568 20 0 0.00 2.87
Jammu and Kashmir 546 23 4.40 164 30.04 375 7 1 16.67 1.28
Karnataka 512 9 1.79 193 37.70 299 20 1 5.26 3.91
Kerala 482 13 2.77 355 73.65 123 4 0 0.00 0.83
Bihar 346 69 24.91 56 16.18 288 2 0 0.00 0.58
Punjab 330 8 2.48 98 29.70 213 19 1 5.56 5.76
Haryana 301 5 1.69 213 70.76 85 3 0 0.00 1.00
Odisha 118 15 14.56 37 31.36 80 1 0 0.00 0.85
Jharkhand 103 21 25.61 17 16.50 83 3 0 0.00 2.91
Uttarakhand 51 0 0.00 33 64.71 18 0 0 NaN 0.00
Chandigarh 45 9 25.00 17 37.78 28 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 25 62.50 13 2 0 0.00 5.00
Chhattisgarh 37 0 0.00 32 86.49 5 0 0 NaN 0.00
Assam 36 0 0.00 27 75.00 8 1 0 0.00 2.78
Andaman and Nicobar Islands 33 0 0.00 11 33.33 22 0 0 NaN 0.00
Ladakh 20 0 0.00 16 80.00 4 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Puducherry 8 0 0.00 5 62.50 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 342850 73479 590 0.81 21.43 7525 680 35441 13449 18.30
Piemonte 139348 25098 278 1.12 18.01 2830 214 15508 2878 11.47
Emilia-Romagna 164979 24662 212 0.87 14.95 2640 247 12225 3431 13.91
Veneto 320027 17579 108 0.62 5.49 1099 123 8860 1344 7.65
Toscana 129048 9179 32 0.35 7.11 671 154 5983 795 8.66
Liguria 44039 7642 154 2.06 17.35 754 83 3580 1128 14.76
Lazio 124769 6392 83 1.32 5.12 1464 143 4562 397 6.21
Marche 52765 6127 16 0.26 11.61 667 58 3310 884 14.43
Campania 68727 4349 18 0.42 6.33 541 37 2877 352 8.09
P.A. Trento 33152 3995 101 2.59 12.05 201 23 1707 407 10.19
Puglia 56976 3958 10 0.25 6.95 449 51 2912 405 10.23
Sicilia 70650 3085 30 0.98 4.37 440 35 2123 231 7.49
Friuli Venezia Giulia 60940 2977 60 2.06 4.89 130 13 1258 271 9.10
Abruzzo 34176 2874 15 0.52 8.41 328 23 2030 299 10.40
P.A. Bolzano 38640 2496 15 0.60 6.46 150 16 940 270 10.82
Umbria 32823 1370 2 0.15 4.17 90 16 287 65 4.74
Sardegna 21395 1283 3 0.23 6.00 97 19 776 109 8.50
Valle d’Aosta 6551 1111 5 0.45 16.96 86 7 235 133 11.97
Calabria 31787 1096 7 0.64 3.45 114 6 782 83 7.57
Basilicata 10364 366 0 0.00 3.53 57 7 217 25 6.83
Molise 5656 296 0 0.00 5.23 20 1 200 21 7.09

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 24983 874 3.63 1600 84 5.54 6.40 2926.21 187.40 1 in 342
Ontario 15970 402 2.58 1023 63 6.56 6.41 1085.52 69.54 1 in 921
Alberta 4696 216 4.82 75 2 2.74 1.60 1064.09 16.99 1 in 940
British Columbia 1998 50 2.57 104 4 4.00 5.21 390.93 20.35 1 in 2558
Nova Scotia 900 NA NA 24 NA NA 2.67 920.76 24.55 1 in 1086
Saskatchewan 365 12 3.40 5 1 25.00 1.37 308.89 4.23 1 in 3237
Manitoba 273 2 0.74 6 0 0.00 2.20 198.18 4.36 1 in 5046
Newfoundland and Labrador 258 0 0.00 3 0 0.00 1.16 494.85 5.75 1 in 2021
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1587 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1037 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 939 13 1.38
Jiangxi 937 1 0.11
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 644 7 1.09
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 286 3 1.05
Guangxi 254 2 0.79
Inner Mongolia 199 1 0.50
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 110 1 0.91
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3020.16 171.94 1 in 331
Spain 4916.89 504.09 1 in 203
Italy 3297.19 446.05 1 in 303
France 2477.43 348.22 1 in 404
Germany 1917.60 73.99 1 in 521
United Kingdom 2383.32 318.44 1 in 420
Turkey 1389.20 35.89 1 in 720
Iran 1127.06 71.54 1 in 887
Russia 603.09 5.49 1 in 1658
China 60.55 3.35 1 in 16516
Brazil 322.25 21.99 1 in 3103
Canada 1319.93 75.58 1 in 758
Belgium 4095.35 632.19 1 in 244
Netherlands 2237.49 263.91 1 in 447
India 21.99 0.70 1 in 45465
Switzerland 3403.03 194.28 1 in 294
Peru 892.10 24.31 1 in 1121
Portugal 2334.99 90.18 1 in 428
Ecuador 1398.32 39.89 1 in 715
Ireland 4067.91 228.16 1 in 246

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 160489 17515 10.91
Nassau New York 34865 1620 4.65
Suffolk New York 32470 1102 3.39
Cook Illinois 31953 1347 4.22
Westchester New York 28007 962 3.43
Los Angeles California 20423 944 4.62
Wayne Michigan 15872 1622 10.22
Bergen New Jersey 15104 960 6.36
Hudson New Jersey 13925 673 4.83
Essex New Jersey 13047 1028 7.88
Middlesex Massachusetts 12953 700 5.40
Philadelphia Pennsylvania 12868 484 3.76
Union New Jersey 12011 583 4.85
Suffolk Massachusetts 11883 448 3.77
Miami-Dade Florida 11570 302 2.61
Rockland New York 11366 481 4.23
Passaic New Jersey 11349 438 3.86
Middlesex New Jersey 10767 455 4.23
Fairfield Connecticut 10763 727 6.75
Orange New York 8238 299 3.63
Essex Massachusetts 7708 359 4.66
New Haven Connecticut 6993 456 6.52
Oakland Michigan 6913 631 9.13
Orleans Louisiana 6365 406 6.38
Jefferson Louisiana 6104 331 5.42
Ocean New Jersey 6024 330 5.48
King Washington 5945 416 7.00
Monmouth New Jersey 5759 302 5.24
Harris Texas 5628 84 1.49
Providence Rhode Island 5427 0 0.00
Norfolk Massachusetts 5398 429 7.95
Prince George’s Maryland 5263 198 3.76
Macomb Michigan 5245 527 10.05
Hartford Connecticut 5157 612 11.87
Morris New Jersey 5030 355 7.06
Marion Indiana 4926 267 5.42
Broward Florida 4794 174 3.63
Worcester Massachusetts 4744 215 4.53
Plymouth Massachusetts 4607 240 5.21
District of Columbia District of Columbia 3892 185 4.75
Montgomery Maryland 3843 210 5.46
Montgomery Pennsylvania 3817 232 6.08
Clark Nevada 3717 174 4.68
Riverside California 3643 141 3.87
Maricopa Arizona 3457 122 3.53
Mercer New Jersey 3433 194 5.65
Hampden Massachusetts 3381 337 9.97
Delaware Pennsylvania 3361 142 4.22
Somerset New Jersey 3204 227 7.08
Camden New Jersey 3124 122 3.91

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc